Josh Dillon, Last Revised January 2022
This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')
antenna = "73" csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_" auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')
Found 51 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_ Found 49 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0
def jd_to_summary_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'
def jd_to_auto_metrics_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'
this_antenna = None
jds = []
# parse information about antennas and nodes
for csv in csvs:
df = pd.read_csv(csv)
for n in range(len(df)):
# Add this day to the antenna
row = df.loc[n]
if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
else:
antnum = int(row['Ant'])
if antnum != int(antenna):
continue
if np.issubdtype(type(row['Node']), np.integer):
row['Node'] = str(row['Node'])
if type(row['Node']) == str and row['Node'].isnumeric():
row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
if this_antenna is None:
this_antenna = Antenna(row['Ant'], row['Node'])
jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
jds.append(jd)
this_antenna.add_day(jd, row)
break
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]
df = pd.DataFrame(to_show)
# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
df[col] = bar_cols[col]
z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
df[col] = z_score_cols[col]
ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
df[col] = ant_metrics_cols[col]
redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]
for col in redcal_cols:
df[col] = redcal_cols[col]
# style dataframe
table = df.style.hide_index()\
.applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
.background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
.background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
.applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
.format({col: '{:,.4f}'.format for col in z_score_cols}) \
.format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
.format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
.set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])
This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))
| JDs | A Priori Status | Auto Metrics Flags | Dead Fraction in Ant Metrics (Jee) | Dead Fraction in Ant Metrics (Jnn) | Crossed Fraction in Ant Metrics | Flag Fraction Before Redcal | Flagged By Redcal chi^2 Fraction | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | Average Dead Ant Metric (Jee) | Average Dead Ant Metric (Jnn) | Average Crossed Ant Metric | Median chi^2 Per Antenna (Jee) | Median chi^2 Per Antenna (Jnn) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2459866 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 15.487626 | 18.026174 | 52.022809 | 53.390171 | 6.380871 | 11.078601 | 3.524969 | 1.573267 | 0.0272 | 0.0272 | 0.0012 | nan | nan |
| 2459865 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 16.750460 | 20.133962 | 63.025956 | 64.916240 | 15.569656 | 23.954742 | 15.964103 | 12.179502 | 0.0268 | 0.0266 | 0.0012 | nan | nan |
| 2459864 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 20.692450 | 24.817628 | 25.191727 | 26.492446 | 8.151268 | 13.351934 | 7.666796 | 3.244056 | 0.0267 | 0.0266 | 0.0011 | nan | nan |
| 2459863 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 12.288919 | 14.868106 | 7.966509 | 8.553035 | 2.944117 | 5.061831 | 3.599709 | 0.901005 | 0.0269 | 0.0268 | 0.0012 | nan | nan |
| 2459862 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 12.155439 | 15.123460 | 28.797450 | 30.453343 | 12.576776 | 19.014903 | 2.904019 | 0.925755 | 0.0272 | 0.0272 | 0.0012 | nan | nan |
| 2459861 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 9.390223 | 11.164705 | 8.062492 | 8.812317 | 2.512683 | 3.215218 | 3.019610 | 0.664727 | 0.0266 | 0.0267 | 0.0012 | nan | nan |
| 2459860 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 10.371434 | 12.350774 | 24.245507 | 25.506484 | 14.569804 | 21.613045 | 2.936830 | 0.693692 | 0.0267 | 0.0266 | 0.0012 | nan | nan |
| 2459859 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 8.530120 | 10.450366 | 8.738164 | 9.489984 | 2.170686 | 2.771399 | 1.678141 | 0.231860 | 0.0268 | 0.0269 | 0.0012 | nan | nan |
| 2459858 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 9.267143 | 11.129677 | 9.036396 | 9.722874 | 2.199134 | 2.821653 | 3.176917 | 0.760941 | 0.0266 | 0.0267 | 0.0005 | 1.129246 | 1.127130 |
| 2459857 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 7.406743 | 7.133877 | 1.261936 | 1.144035 | 3.523097 | 1.855500 | 9.188950 | 2.925000 | 0.0240 | 0.0239 | 0.0004 | nan | nan |
| 2459856 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 13.929489 | 17.031987 | 22.838314 | 23.928424 | 6.592675 | 12.070855 | 5.656922 | 3.217993 | 0.0270 | 0.0270 | 0.0005 | 1.144061 | 1.141007 |
| 2459855 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 14.586180 | 16.717742 | 23.806969 | 24.695582 | 2.844513 | 4.249554 | 1.883896 | 0.148590 | 0.0266 | 0.0269 | 0.0005 | 1.138548 | 1.134553 |
| 2459854 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 14.619708 | 15.030595 | 18.251178 | 18.843178 | 3.962978 | 4.268928 | 4.644766 | 2.592386 | 0.0267 | 0.0269 | 0.0005 | 1.143574 | 1.140450 |
| 2459853 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 12.304192 | 14.953970 | 24.789659 | 26.169757 | 6.826879 | 10.792674 | 4.896368 | 1.925465 | 0.0269 | 0.0267 | 0.0004 | 1.146220 | 1.141166 |
| 2459852 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 12.497565 | 15.328130 | 25.413281 | 27.269700 | 15.444994 | 19.798294 | 16.865067 | 16.448382 | 0.0268 | 0.0266 | 0.0004 | 1.138615 | 1.136615 |
| 2459851 | digital_ok | 100.00% | 100.00% | 10.31% | 0.00% | 100.00% | 0.00% | 9.586081 | 9.623261 | 26.236153 | 2.978870 | 21.472529 | 67.395180 | 14.625611 | 1.946302 | 0.0447 | 0.6479 | 0.4669 | 0.983044 | 2.958292 |
| 2459850 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 11.672926 | 1.414638 | 22.703634 | -0.132104 | 10.277233 | 1.269566 | 8.277679 | 0.055245 | 0.0273 | 0.0550 | 0.0239 | 1.144955 | 1.170888 |
| 2459849 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 13.582027 | 1.437009 | 45.919340 | -0.473176 | 7.049837 | 1.297637 | 5.646286 | 0.152892 | 0.0273 | 0.0593 | 0.0254 | 1.150353 | 1.180298 |
| 2459848 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 12.398446 | 1.693036 | 29.385857 | -0.946842 | 14.319395 | 0.864711 | 4.105120 | -0.631002 | 0.0271 | 0.0600 | 0.0252 | 1.159145 | 1.186780 |
| 2459847 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 14.402971 | 1.115625 | 27.380734 | -0.702825 | 22.114394 | -0.563236 | 1.881498 | 0.618428 | 0.0262 | 0.0549 | 0.0191 | 1.168797 | 1.195299 |
| 2459846 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 24.030311 | -1.035895 | 33.364030 | -0.539875 | 21.448598 | 0.380253 | 5.623196 | -0.115973 | 0.0275 | 0.0612 | 0.0256 | 1.188424 | 1.214198 |
| 2459845 | digital_ok | 100.00% | 100.00% | 0.00% | 0.00% | 100.00% | 0.00% | 15.726110 | 2.221477 | 38.997963 | -0.257497 | 10.134117 | 2.579899 | 3.091900 | 2.811094 | 0.0504 | 0.7508 | 0.5906 | 1.090277 | 25.381838 |
| 2459844 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 15.567953 | 0.846542 | 4.957166 | -0.218120 | 3.618700 | 1.052709 | 12.533094 | 1.597940 | 0.0239 | 0.0243 | 0.0005 | nan | nan |
| 2459843 | digital_ok | 100.00% | 100.00% | 0.66% | 0.00% | 100.00% | 0.00% | 16.007778 | 2.248079 | 18.782401 | -1.061603 | 64.594094 | 0.184444 | 0.603028 | 0.995822 | 0.0356 | 0.7485 | 0.5404 | 1.233459 | 3.438533 |
| 2459840 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 3.610704 | 3.074700 | -1.083308 | -1.316501 | 1.232822 | 1.675584 | 1.199968 | 0.737452 | 0.0232 | 0.0239 | 0.0010 | nan | nan |
| 2459839 | digital_ok | 0.00% | - | - | - | - | - | 0.294263 | 0.219327 | -0.723446 | -0.654885 | -0.534830 | -0.851238 | 1.157775 | 0.748276 | nan | nan | nan | nan | nan |
| 2459838 | digital_ok | 100.00% | 100.00% | 0.00% | 0.00% | 100.00% | 0.00% | 15.593429 | 1.587315 | 21.959191 | -0.878938 | 19.574674 | 0.398915 | 0.580705 | -0.074561 | 0.0373 | 0.6886 | 0.3818 | 0.000000 | 0.000000 |
| 2459836 | digital_ok | - | 100.00% | 100.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.0315 | 0.0348 | 0.0027 | nan | nan |
| 2459835 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 2.424388 | -0.925550 | 2.173977 | -0.880037 | 0.591320 | 2.207272 | 1.557881 | 6.285234 | 0.0330 | 0.0364 | 0.0021 | nan | nan |
| 2459833 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 6.466209 | 0.137042 | 2.635838 | 0.333032 | 7.186896 | 11.768199 | 3.609207 | 2.358771 | 0.0256 | 0.0275 | 0.0036 | nan | nan |
| 2459832 | digital_ok | 100.00% | 100.00% | 0.00% | 0.00% | 100.00% | 0.00% | 29.718369 | -0.594454 | 24.653983 | 0.296471 | 13.593285 | 0.590908 | 1.313026 | 0.896144 | 0.0342 | 0.5270 | 0.3302 | 1.192571 | 2.751203 |
| 2459831 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 0.120856 | -0.225008 | -0.229677 | -0.136401 | 0.739007 | 2.479249 | 1.012555 | 0.703970 | 0.0257 | 0.0335 | 0.0029 | nan | nan |
| 2459830 | digital_ok | 100.00% | 100.00% | 0.00% | 0.00% | 100.00% | 0.00% | 30.055037 | -0.024816 | 35.214341 | 0.987785 | 39.730666 | -0.218043 | 3.499208 | 0.861380 | 0.0317 | 0.5162 | 0.2804 | 1.177536 | 2.819479 |
| 2459829 | digital_ok | 100.00% | 100.00% | 0.00% | 0.00% | 100.00% | 0.00% | 26.813804 | 1.441966 | 28.680898 | 0.250282 | 28.597988 | 15.644194 | 4.525425 | 3.182383 | 0.0346 | 0.6423 | 0.3698 | 0.000000 | 0.000000 |
| 2459828 | digital_ok | 100.00% | 100.00% | 0.00% | 0.00% | 100.00% | 0.00% | 25.486553 | 0.308492 | 30.939032 | 3.305048 | 36.565384 | 2.291144 | 9.012941 | -1.773532 | 0.0369 | 0.5479 | 0.3037 | 1.124267 | 3.976304 |
| 2459827 | digital_ok | 100.00% | 100.00% | 0.00% | 0.00% | 100.00% | 0.00% | 22.139982 | 0.336987 | 34.735896 | 5.214357 | 24.525605 | 1.635140 | 0.204597 | -0.107667 | 0.0352 | 0.6611 | 0.3426 | 1.209018 | 4.822102 |
| 2459826 | digital_ok | 100.00% | 100.00% | 0.00% | 0.00% | 100.00% | 0.00% | 24.062087 | -0.150438 | 39.048206 | 3.721807 | 48.821368 | 2.471402 | 5.377118 | -0.294839 | 0.0357 | 0.5809 | 0.2859 | 0.000000 | 0.000000 |
| 2459825 | digital_ok | 100.00% | 100.00% | 0.00% | 0.00% | 100.00% | 0.00% | 26.482550 | -0.406859 | 31.070433 | 1.734249 | 27.549250 | 0.535219 | 0.008725 | -0.439043 | 0.0346 | 0.5775 | 0.2374 | 1.322048 | 4.408842 |
| 2459824 | digital_ok | 100.00% | 100.00% | 0.00% | 0.00% | 100.00% | 0.00% | 14.487537 | 1.596627 | 24.703633 | 2.257002 | 10.648017 | -0.290968 | 1.400649 | -0.094360 | 0.0344 | 0.7090 | 0.2992 | 1.241069 | 9.654327 |
| 2459823 | digital_ok | 100.00% | 100.00% | 0.00% | 0.00% | 100.00% | 0.00% | 25.179339 | 0.478329 | 46.463214 | 2.124980 | 34.197772 | 0.255078 | 25.600294 | 0.139449 | 0.0332 | 0.6185 | 0.2762 | -0.000000 | -0.000000 |
| 2459822 | digital_ok | 100.00% | 100.00% | 0.00% | 0.00% | 100.00% | 0.00% | 24.452221 | 0.281384 | 42.578167 | 2.451166 | 30.794583 | 0.993050 | 0.687979 | -0.861425 | 0.0329 | 0.6070 | 0.2575 | 1.205376 | 3.293573 |
| 2459821 | digital_ok | 100.00% | 100.00% | 0.00% | 0.00% | 100.00% | 0.00% | 27.290621 | 0.228633 | 43.572254 | 2.940935 | 26.205350 | 0.767154 | -1.257721 | -0.039447 | 0.0324 | 0.6390 | 0.3141 | 1.191407 | 3.171066 |
| 2459820 | digital_ok | 100.00% | 100.00% | 0.00% | 0.00% | 100.00% | 0.00% | 21.569247 | -0.029863 | 34.830515 | 2.918230 | 66.185640 | 2.085101 | 2.788263 | 0.059962 | 0.0434 | 0.6949 | 0.3643 | 1.225085 | 3.808817 |
| 2459817 | digital_ok | 100.00% | 100.00% | 0.00% | 0.00% | 100.00% | 0.00% | 24.275565 | 0.013344 | 42.317071 | 1.017455 | 36.206731 | 0.859834 | 1.014506 | -0.669551 | 0.0376 | 0.6919 | 0.3676 | 1.195348 | 2.724568 |
| 2459816 | digital_ok | 100.00% | 100.00% | 0.00% | 0.00% | 100.00% | 0.00% | 18.239146 | -0.696655 | 42.351710 | 0.158921 | 46.582541 | 0.956424 | 4.923122 | 1.705398 | 0.0374 | 0.6115 | 0.3620 | 1.226511 | 3.269667 |
| 2459815 | digital_ok | 100.00% | 100.00% | 0.00% | 0.00% | 100.00% | 0.00% | 21.974665 | 0.379776 | 46.318158 | -0.409018 | 47.499492 | 0.392475 | 8.381601 | 2.695237 | 0.0336 | 0.6932 | 0.4024 | 1.183698 | 2.968552 |
| 2459814 | digital_ok | 0.00% | - | - | - | - | - | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459813 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
auto_metrics notebooks.¶htmls_to_display = []
for am_html in auto_metric_htmls:
html_to_display = ''
# read html into a list of lines
with open(am_html) as f:
lines = f.readlines()
# find section with this antenna's metric plots and add to html_to_display
jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
try:
section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
except ValueError:
continue
html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
for line in lines[section_start_line + 1:]:
html_to_display += line
if '<hr' in line:
htmls_to_display.append(html_to_display)
break
These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.
for i, html_to_display in enumerate(htmls_to_display):
if i == 100:
break
display(HTML(html_to_display))
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 73 | N05 | digital_ok | nn Power | 53.390171 | 18.026174 | 15.487626 | 53.390171 | 52.022809 | 11.078601 | 6.380871 | 1.573267 | 3.524969 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 73 | N05 | digital_ok | nn Power | 64.916240 | 16.750460 | 20.133962 | 63.025956 | 64.916240 | 15.569656 | 23.954742 | 15.964103 | 12.179502 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 73 | N05 | digital_ok | nn Power | 26.492446 | 24.817628 | 20.692450 | 26.492446 | 25.191727 | 13.351934 | 8.151268 | 3.244056 | 7.666796 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 73 | N05 | digital_ok | nn Shape | 14.868106 | 12.288919 | 14.868106 | 7.966509 | 8.553035 | 2.944117 | 5.061831 | 3.599709 | 0.901005 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 73 | N05 | digital_ok | nn Power | 30.453343 | 12.155439 | 15.123460 | 28.797450 | 30.453343 | 12.576776 | 19.014903 | 2.904019 | 0.925755 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 73 | N05 | digital_ok | nn Shape | 11.164705 | 11.164705 | 9.390223 | 8.812317 | 8.062492 | 3.215218 | 2.512683 | 0.664727 | 3.019610 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 73 | N05 | digital_ok | nn Power | 25.506484 | 10.371434 | 12.350774 | 24.245507 | 25.506484 | 14.569804 | 21.613045 | 2.936830 | 0.693692 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 73 | N05 | digital_ok | nn Shape | 10.450366 | 8.530120 | 10.450366 | 8.738164 | 9.489984 | 2.170686 | 2.771399 | 1.678141 | 0.231860 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 73 | N05 | digital_ok | nn Shape | 11.129677 | 11.129677 | 9.267143 | 9.722874 | 9.036396 | 2.821653 | 2.199134 | 0.760941 | 3.176917 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 73 | N05 | digital_ok | ee Temporal Discontinuties | 9.188950 | 7.133877 | 7.406743 | 1.144035 | 1.261936 | 1.855500 | 3.523097 | 2.925000 | 9.188950 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 73 | N05 | digital_ok | nn Power | 23.928424 | 13.929489 | 17.031987 | 22.838314 | 23.928424 | 6.592675 | 12.070855 | 5.656922 | 3.217993 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 73 | N05 | digital_ok | nn Power | 24.695582 | 16.717742 | 14.586180 | 24.695582 | 23.806969 | 4.249554 | 2.844513 | 0.148590 | 1.883896 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 73 | N05 | digital_ok | nn Power | 18.843178 | 15.030595 | 14.619708 | 18.843178 | 18.251178 | 4.268928 | 3.962978 | 2.592386 | 4.644766 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 73 | N05 | digital_ok | nn Power | 26.169757 | 14.953970 | 12.304192 | 26.169757 | 24.789659 | 10.792674 | 6.826879 | 1.925465 | 4.896368 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 73 | N05 | digital_ok | nn Power | 27.269700 | 12.497565 | 15.328130 | 25.413281 | 27.269700 | 15.444994 | 19.798294 | 16.865067 | 16.448382 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 73 | N05 | digital_ok | nn Temporal Variability | 67.395180 | 9.586081 | 9.623261 | 26.236153 | 2.978870 | 21.472529 | 67.395180 | 14.625611 | 1.946302 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 73 | N05 | digital_ok | ee Power | 22.703634 | 11.672926 | 1.414638 | 22.703634 | -0.132104 | 10.277233 | 1.269566 | 8.277679 | 0.055245 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 73 | N05 | digital_ok | ee Power | 45.919340 | 13.582027 | 1.437009 | 45.919340 | -0.473176 | 7.049837 | 1.297637 | 5.646286 | 0.152892 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 73 | N05 | digital_ok | ee Power | 29.385857 | 1.693036 | 12.398446 | -0.946842 | 29.385857 | 0.864711 | 14.319395 | -0.631002 | 4.105120 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 73 | N05 | digital_ok | ee Power | 27.380734 | 1.115625 | 14.402971 | -0.702825 | 27.380734 | -0.563236 | 22.114394 | 0.618428 | 1.881498 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 73 | N05 | digital_ok | ee Power | 33.364030 | 24.030311 | -1.035895 | 33.364030 | -0.539875 | 21.448598 | 0.380253 | 5.623196 | -0.115973 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 73 | N05 | digital_ok | ee Power | 38.997963 | 2.221477 | 15.726110 | -0.257497 | 38.997963 | 2.579899 | 10.134117 | 2.811094 | 3.091900 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 73 | N05 | digital_ok | ee Shape | 15.567953 | 15.567953 | 0.846542 | 4.957166 | -0.218120 | 3.618700 | 1.052709 | 12.533094 | 1.597940 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 73 | N05 | digital_ok | ee Temporal Variability | 64.594094 | 2.248079 | 16.007778 | -1.061603 | 18.782401 | 0.184444 | 64.594094 | 0.995822 | 0.603028 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 73 | N05 | digital_ok | ee Shape | 3.610704 | 3.610704 | 3.074700 | -1.083308 | -1.316501 | 1.232822 | 1.675584 | 1.199968 | 0.737452 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 73 | N05 | digital_ok | ee Temporal Discontinuties | 1.157775 | 0.219327 | 0.294263 | -0.654885 | -0.723446 | -0.851238 | -0.534830 | 0.748276 | 1.157775 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 73 | N05 | digital_ok | ee Power | 21.959191 | 1.587315 | 15.593429 | -0.878938 | 21.959191 | 0.398915 | 19.574674 | -0.074561 | 0.580705 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 73 | N05 | digital_ok | nn Temporal Discontinuties | 6.285234 | -0.925550 | 2.424388 | -0.880037 | 2.173977 | 2.207272 | 0.591320 | 6.285234 | 1.557881 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 73 | N05 | digital_ok | nn Temporal Variability | 11.768199 | 0.137042 | 6.466209 | 0.333032 | 2.635838 | 11.768199 | 7.186896 | 2.358771 | 3.609207 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 73 | N05 | digital_ok | ee Shape | 29.718369 | 29.718369 | -0.594454 | 24.653983 | 0.296471 | 13.593285 | 0.590908 | 1.313026 | 0.896144 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 73 | N05 | digital_ok | nn Temporal Variability | 2.479249 | 0.120856 | -0.225008 | -0.229677 | -0.136401 | 0.739007 | 2.479249 | 1.012555 | 0.703970 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 73 | N05 | digital_ok | ee Temporal Variability | 39.730666 | 30.055037 | -0.024816 | 35.214341 | 0.987785 | 39.730666 | -0.218043 | 3.499208 | 0.861380 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 73 | N05 | digital_ok | ee Power | 28.680898 | 1.441966 | 26.813804 | 0.250282 | 28.680898 | 15.644194 | 28.597988 | 3.182383 | 4.525425 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 73 | N05 | digital_ok | ee Temporal Variability | 36.565384 | 0.308492 | 25.486553 | 3.305048 | 30.939032 | 2.291144 | 36.565384 | -1.773532 | 9.012941 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 73 | N05 | digital_ok | ee Power | 34.735896 | 22.139982 | 0.336987 | 34.735896 | 5.214357 | 24.525605 | 1.635140 | 0.204597 | -0.107667 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 73 | N05 | digital_ok | ee Temporal Variability | 48.821368 | -0.150438 | 24.062087 | 3.721807 | 39.048206 | 2.471402 | 48.821368 | -0.294839 | 5.377118 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 73 | N05 | digital_ok | ee Power | 31.070433 | -0.406859 | 26.482550 | 1.734249 | 31.070433 | 0.535219 | 27.549250 | -0.439043 | 0.008725 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 73 | N05 | digital_ok | ee Power | 24.703633 | 14.487537 | 1.596627 | 24.703633 | 2.257002 | 10.648017 | -0.290968 | 1.400649 | -0.094360 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 73 | N05 | digital_ok | ee Power | 46.463214 | 0.478329 | 25.179339 | 2.124980 | 46.463214 | 0.255078 | 34.197772 | 0.139449 | 25.600294 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 73 | N05 | digital_ok | ee Power | 42.578167 | 24.452221 | 0.281384 | 42.578167 | 2.451166 | 30.794583 | 0.993050 | 0.687979 | -0.861425 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 73 | N05 | digital_ok | ee Power | 43.572254 | 0.228633 | 27.290621 | 2.940935 | 43.572254 | 0.767154 | 26.205350 | -0.039447 | -1.257721 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 73 | N05 | digital_ok | ee Temporal Variability | 66.185640 | 21.569247 | -0.029863 | 34.830515 | 2.918230 | 66.185640 | 2.085101 | 2.788263 | 0.059962 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 73 | N05 | digital_ok | ee Power | 42.317071 | 24.275565 | 0.013344 | 42.317071 | 1.017455 | 36.206731 | 0.859834 | 1.014506 | -0.669551 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 73 | N05 | digital_ok | ee Temporal Variability | 46.582541 | -0.696655 | 18.239146 | 0.158921 | 42.351710 | 0.956424 | 46.582541 | 1.705398 | 4.923122 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 73 | N05 | digital_ok | ee Temporal Variability | 47.499492 | 0.379776 | 21.974665 | -0.409018 | 46.318158 | 0.392475 | 47.499492 | 2.695237 | 8.381601 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 73 | N05 | digital_ok | nn Shape | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 73 | N05 | digital_ok | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |